Senior Data Scientist
PhantomSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, Technology, People Technology, AIIndustries
Requirements
- Proven experience deploying high-risk NLP applications in real-world, production environments—such as those involving regulatory compliance, privacy, safety, or fairness
- Advanced proficiency in Python and common ML/DS libraries such as NumPy, pandas, scikit-learn, as well as deep learning frameworks like TensorFlow, PyTorch
- Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the design of modern recommender systems
- Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization
- Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR
Responsibilities
- Develop LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data
- Build and optimize personalized Q&A systems using large language models, enabling context-aware responses tailored to user needs
- Design and enhance conversational talent recommendation systems, combining autonomous agent architectures with personalized recommendation algorithms
- Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent
- Collaborate within a highly cross-functional team, including data scientists, machine learning engineers, product managers, and UX designers
- Partner with fellow data scientists to design, prototype, and iterate on AI/ML models and system architectures
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What skills and experience are required for the Principal Data Scientist role?
Candidates need proven experience deploying high-risk NLP applications in production, advanced proficiency in Python and ML/DS libraries like NumPy, pandas, scikit-learn, TensorFlow, PyTorch, hands-on experience with Text-to-SQL or Text-to-Cypher or modern recommender systems, and experience with LLMs including prompt engineering, RAG, or model customization.
What does the team structure look like for this position?
The role is part of the People Technology team, specifically the People.AI team, involving collaboration within a highly cross-functional team including data scientists, machine learning engineers, product managers, and UX designers, as well as partnering with fellow data scientists.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What makes a strong candidate for this Principal Data Scientist position?
A strong candidate will have proven experience deploying high-risk NLP applications in production environments, advanced Python and ML framework proficiency, hands-on work with LLMs, Text-to-SQL, or recommender systems, and a publication history demonstrating expertise.
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
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